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Review tasks let you check the quality of your workflow’s output before moving on. You can have a real person review it (Human Review) or let AI check it automatically (Agentic Review).
Only Opus Agent, Custom Agent, Human Task, and Text Extraction tasks can connect to a Review Task.

Human Review

Human Review pauses your workflow so a real person can look at the output and decide whether to accept it or reject it. Use it when you need human judgment before moving forward.

Key Capabilities

Accept or Reject

Reviewers decide whether the output is good enough to continue.

Edit on Reject

Reviewers can fix problems before the workflow continues.

Deadline Setting

Give people a specific timeframe to complete their review.

Accept/Reject Paths

Route your workflow differently based on the reviewer’s decision.

When to Use It

Use Human Review when you need a person to check the output before moving on:
  • Verify AI-generated content before publishing
  • Check that extracted data is accurate
  • Confirm output meets compliance requirements
  • Review flagged or uncertain results
Need someone to fill in information instead of just approve/reject? Use Opus Human Task instead.

How to Add Human Review

1

Drop it into your workflow

Drag a Human Review task into your workflow after the task you want reviewed. The review automatically inherits all inputs and outputs from the previous task.
2

Write review guidance

Explain what the reviewer should check and when to accept or reject.
3

Set a deadline

Choose how many hours the reviewer has to complete the review.
4

Connect both paths

Wire the Accept output to one path and the Reject output to another. Make sure both are connected.
5

Test it

Run a preview to make sure both paths work as expected.
Make sure you connect both the Accept and Reject paths to something. If you leave one unconnected, your workflow might not work correctly.

Tips for Better Results

Reviewers need to know exactly what to look for:
  • Explain what makes output acceptable
  • Give examples of what to accept vs. reject
  • List specific things to check
Be realistic about deadlines:
  • Remember people work in different time zones
  • Allow time for thorough evaluation
  • Factor in editing time if you enabled it

Agentic Review

Agentic Review uses AI to check your workflow’s output automatically. It can approve outputs that meet your criteria, flag problems, or even fix issues on its own—all without waiting for a person. Use it when you need to review lots of outputs quickly and consistently. Agentic Review is powered by Opus Swarm, a set of review agents created by AppliedAI. More agentic providers may be supported in the future.

Key Capabilities

AI Validation

AI checks outputs against your criteria automatically.

Auto-Correction

Optionally fix problems without human involvement.

High Volume

Review thousands of outputs quickly and consistently.

Pass/Fail Paths

Route your workflow based on whether the output passes or fails.

When to Use It

Use Agentic Review when you need to check lots of outputs automatically:
  • Validate that data matches an expected format
  • Check that required fields are present
  • Fix common formatting issues automatically
  • Filter out outputs that need human attention
Need human judgment or accountability? Use Human Review instead. Agentic Review works best when you can clearly define what “correct” looks like.

How to Add Agentic Review

1

Drop it into your workflow

Drag an Agentic Review task into your workflow after the task you want reviewed. The review automatically inherits all inputs and outputs from the previous task.
2

Choose an agentic provider

Select the AI provider that will perform the review. Currently, Opus Swarm is available.
3

Write validation criteria

Explain what makes output acceptable—what to check, required fields, expected formats.
4

Connect both paths

Wire the Pass output to one path and the Fail output to another. Make sure both are connected.
5

Test it

Run a preview with both valid and invalid data to make sure both paths work.
Make sure you connect both the Pass and Fail paths to something. If you leave one unconnected, your workflow might not work correctly.

Tips for Better Results

Vague criteria produce inconsistent results:
  • Good: “Date must be in YYYY-MM-DD format”
  • Bad: “Data should be correct”
Before activating:
  • Try data that should pass
  • Try data that should fail
  • Make sure both paths work correctly